"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 15:48:37.173733
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited reasoning sophistication.
    This engine evaluates expressions involving logical operators and variables.

    Args:
        expression: str - The logical expression to evaluate in the form of 'A AND B OR C'.
                     Supports basic logical operations: AND, OR, NOT.

    Methods:
        __init__: Initializes the ReasoningEngine instance with a given expression.
        evaluate_expression: Evaluates the provided logical expression based on given variable states.
        _parse_expression: Parses and tokenizes the input expression for evaluation.
        _evaluate_token: Recursively evaluates individual tokens representing variables or logical operations.
    """

    def __init__(self, expression: str):
        self.expression = expression

    def evaluate_expression(self, variable_states: Dict[str, bool]) -> bool:
        """
        Evaluate the logical expression given a set of variable states.

        Args:
            variable_states: dict - A dictionary mapping variables to their boolean values (True or False).

        Returns:
            bool - The result of evaluating the expression based on provided variable states.
        """
        tokens = self._parse_expression(self.expression)
        return self._evaluate_token(tokens, variable_states)

    def _parse_expression(self, expr: str) -> List[str]:
        """
        Parse and tokenize the input logical expression.

        Args:
            expr: str - The logical expression to parse.

        Returns:
            list - A list of tokens representing variables or logical operations.
        """
        current_token = ""
        tokens = []
        for char in expr.replace(' ', ''):
            if char in ('AND', 'OR', 'NOT', ')', '('):
                if current_token:
                    tokens.append(current_token)
                    current_token = ""
                tokens.append(char)
            else:
                current_token += char
        if current_token:
            tokens.append(current_token)
        return tokens

    def _evaluate_token(self, tokens: List[str], variable_states: Dict[str, bool]) -> bool:
        """
        Recursively evaluate individual tokens representing variables or logical operations.

        Args:
            tokens: list - A list of tokens to be evaluated.
            variable_states: dict - The current state of the variables.

        Returns:
            bool - The result of evaluating the token(s).
        """
        if not tokens:
            return False
        elif isinstance(tokens[0], str) and tokens[0] in variable_states:
            # Evaluate a variable
            return variable_states[tokens[0]]
        elif len(tokens) == 1:
            # Single token, evaluate it directly
            return self._evaluate_token([tokens[0]], variable_states)
        else:
            # Logical operation
            op = tokens.pop(0)
            left = self._evaluate_token(tokens[:len(tokens)//2], variable_states)
            right = self._evaluate_token(tokens[len(tokens)//2:], variable_states)
            if op == 'AND':
                return left and right
            elif op == 'OR':
                return left or right
            else:
                raise ValueError("Unsupported logical operation")

# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine("A AND B OR C")
    variable_states = {"A": True, "B": False, "C": True}
    result = engine.evaluate_expression(variable_states)
    print(f"Result: {result}")
```

This code defines a `ReasoningEngine` class that can evaluate logical expressions with basic operations. It includes methods for parsing the expression and evaluating it based on given variable states. The example usage demonstrates how to create an instance of this class, set up some variable states, and evaluate the expression."""Create fallback_executor
Generated by Phi-Octopus Eden
2025-11-06 07:11:00.540416
"""

```python
from typing import Callable, Any

class FallbackExecutor:
    """
    A class that provides a fallback mechanism for executing functions.
    
    This class can be used to execute primary tasks while having secondary backup plans in case of errors.

    :param primary: The primary function to attempt execution on.
    :type primary: Callable
    :param backups: List of backup functions to try if the primary fails.
    :type backups: list[Callable]
    
    Example usage:
    >>> def primary_task(x: int) -> int:
    ...     return x + 1
    ...
    >>> def backup_task_1(x: int) -> int:
    ...     return x - 1
    ...
    >>> def backup_task_2(x: int) -> int:
    ...     return x * 2
    ...
    >>> fallback_executor = FallbackExecutor(primary=primary_task, backups=[backup_task_1, backup_task_2])
    >>> result = fallback_executor.execute(5)
    >>> print(result)  # This will output the result of primary_task or a backup task if it fails.
    """
    
    def __init__(self, primary: Callable[..., Any], backups: list[Callable[..., Any]]):
        self.primary = primary
        self.backups = backups
    
    def execute(self, *args, **kwargs) -> Any:
        try:
            return self.primary(*args, **kwargs)
        except Exception as e:
            print(f"Primary function failed with error: {e}")
            
            for backup in self.backups:
                try:
                    result = backup(*args, **kwargs)
                    print("Backup function executed successfully.")
                    return result
                except Exception as be:
                    print(f"Backup function {backup.__name__} failed with error: {be}")
    
        print("All fallbacks exhausted. No successful execution.")
        raise

# Example usage code
def primary_task(x: int) -> int:
    """Add 1 to the input value."""
    return x + 1

def backup_task_1(x: int) -> int:
    """Subtract 1 from the input value."""
    return x - 1

def backup_task_2(x: int) -> int:
    """Double the input value."""
    return x * 2

# Create an instance of FallbackExecutor
fallback_executor = FallbackExecutor(primary=primary_task, backups=[backup_task_1, backup_task_2])

# Execute a task and print result
result = fallback_executor.execute(5)
print(result)
```